Generalized DEA-Range Adjusted Measurement

Abstract

Data Envelopment Analysis (DEA) is designed to measure the efficiency of decision making units (DMUs). A scalarizing function reduces all numerical information on inputs and outputs of a DMU to a single efficiency score. A range adjusted measure normalizes input and output values through equalization factors, already known from Multicriteria Decision Making. Cooper et al (1999) introduce a range adjusted DEA model for a non-radial measure with variable returns to scale. We extend this approach by the help of a general DEA model framework. Calculation of suitable range adjusted measures is incorporated in a web-based DEA-tool. This tool allows processing of individual sets of data with a broad choice of model characteristics.